behenoyl dihydrosphingomyelin (d18:0/22:0)* to glycosyl ceramide (d18:1/20:0, d16:1/22:0)*

Numerator Metabolite

Structure of behenoyl dihydrosphingomyelin (d18:0/22:0)*
Metabolite Accession: GCST90200059
Name: behenoyl dihydrosphingomyelin (d18:0/22:0)*
Hmdb Id: HMDB0012091
Super Pathway: NA
Sub Pathway: NA
Inchikey: FONAXCRWZQFJHY

Denominator Metabolite

Metabolite Accession: GCST90200145
Name: glycosyl ceramide (d18:1/20:0, d16:1/22:0)*
Hmdb Id: NA
Super Pathway: NA
Sub Pathway: NA
Inchikey: NA

Associated Genomic Regions

Region: rs17101394

Click a 'Plot' button in the tables to the right to view a locus plot here.

Clumped rQTL variant

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SNP Summary

Chr:
14
Beta (Ratio):
-0.256
Position:
64232386
SE (Ratio):
0.026
Effect Allele:
A
Z-score (Ratio):
-9.808
Reference Allele:
G
-log10(P):
-50.620
MAF:
0.164
Beta (Num):
-0.098
Novel Locus:
No
SE (Num):
0.020
Beta (Den):
0.158
SE (Den):
0.020
No CNV overlap
rQTL cluster:
Reaction Distance:
NA
Closest Genes:

LLM Analysis

Numerator Metabolite Explanation:

Sphingolipid metabolism.4[1], 5[2]

Denominator Metabolite Explanation:

Sphingolipid metabolism, Glycosphingolipid biosynthesis.6[1], 7[2], 8[3]

Ratio Explanation:

This ratio reflects the balance in ceramide utilization between sphingomyelin and glycosylceramide synthesis pathways.9[1], 6[2], 7[3], 10[4]

Ratio Evidence:

reaction where the ratio is shared through a pathway

Gene Ratio Phenotype Relationship:

Altered SGPP1 function can shift sphingolipid metabolism, impacting levels of ceramides and other bioactive sphingolipids known to be involved in insulin resistance and dyslipidemia, thereby potentially influencing both triglyceride and HbA1c levels.11[1], 12[2], 13[3], 14[4], 15[5], 16[6]

Phenotype Driver:

Gene-centric:SGPP1

Downloads

Download the full rQTL summary statistics file for this metabolite ratio. Data contains the loci listed here. For each SNP (chromosome, effect_allele, reference_allele, pos_name, position) these columns contain the summary statistics of the ratio (beta, pgain, pval, se, z), the numerator metabolite (beta_1, pval_1, n_iids_1, effect_allele_frequency_1, se_1, z_1) and the denominator metabolite (beta_2, pval_2, n_iids_2, effect_allele_frequency_2, se_2, z_2)

Download rQTL Data